To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("flowMeans")

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flowMeans

 

   

This is the development version of flowMeans; for the stable release version, see flowMeans.

Non-parametric Flow Cytometry Data Gating

Bioconductor version: Development (3.4)

Identifies cell populations in Flow Cytometry data using non-parametric clustering and segmented-regression-based change point detection. Note: R 2.11.0 or newer is required.

Author: Nima Aghaeepour

Maintainer: Nima Aghaeepour <naghaeep at gmail.com>

Citation (from within R, enter citation("flowMeans")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("flowMeans")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("flowMeans")

 

PDF flowMeans: Non-parametric Flow Cytometry Data Gating
PDF   Reference Manual

Details

biocViews CellBiology, Clustering, FlowCytometry, Software
Version 1.33.0
In Bioconductor since BioC 2.6 (R-2.11) (6 years)
License Artistic-2.0
Depends R (>= 2.10.0)
Imports Biobase, graphics, grDevices, methods, rrcov, stats, feature, flowCore
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me flowType
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source flowMeans_1.33.0.tar.gz
Windows Binary flowMeans_1.31.0.zip
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/flowMeans
Package Short Url http://bioconductor.org/packages/flowMeans/
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